DeepGlioSeg: advanced glioma MRI data segmentation with integrated local-global representation architecture by Ruipeng Li, Yuehui Liao, Yueqi Huang, Xiaofei Ma, Guohua Zhao, Yanbin Wang, Chen Song

“…However, this task is hindered by substantial heterogeneity within gliomas and imbalanced region distributions, posing challenges to existing segmentation methods.MethodsTo address these challenges, we propose the DeepGlioSeg network, a U-shaped architecture with skip connections for continuous contextual feature integration. …”
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Borromean states in a one-dimensional three-body system by Tobias Schnurrenberger, Lucas Happ, Maxim A. Efremov

“…It is assumed that there is no interaction between the two bosons, while the mass-imbalanced two-body subsystems can be tuned to be either bound or unbound. …”
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Exploratory analysis of the position of Chinese cities as international tourism hubs: product destination versus business environment internationalization by Xiang Feng, Ben Derudder, Xiaochuan Zhu, Haixia Zhou

“…Results are interpreted in the context of three dimensions of the internationalization of the Chinese economy: the imbalanced development of the space-economy; the uneven impact of policy plans and mechanisms; and the imprint of spatio-political hierarchies. …”
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Feature importance analysis of solar flares and prediction research with ensemble machine learning models by Yun Yang, Yun Yang

“…The object of this work is to provide prediction methods for imbalanced data as well as feature importance ranking methods.…”
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An optimized data analytics pipeline for improving healthcare diagnosis using ensemble learning by Lomat Haider Chowdhury, Shaira Tabassum, Swakkhar Shatabda, Ashir Ahmed

“…Yet the difficulty remains since the raw data contains noise including missing values, outliers, and an imbalanced number of samples. These properties in a dataset make it challenging to implement any diagnosis model. …”
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Tampered text detection via RGB and frequency relationship modeling by Yuxin WANG, Boqiang ZHANG, Hongtao XIE, Yongdong ZHANG

“…In recent years, the widespread dissemination of tampered text images on the Internet constitutes an important threat to the security of text images.However, the corresponding tampered text detection (TTD) methods have not been sufficiently explored.The TTD task aims to locate all text regions in an image while judging whether the text regions have been tampered with according to the authenticity of the texture.Thus, different from the general text detection task, TTD task further needs to perceive the fine-grained information for real-world and tampered text classification.TTD task has two main challenges.One the one hand, due to the high similarity in texture between real-world texts and tampered texts, TTD methods that only learn from RGB domain features have limited capability to distinguish these two-category texts well.On the other hand, as the different detecting difficulty exists in real-world texts and tampered texts, the network cannot well balance the learning process of the two-category texts, resulting in the imbalance detection performance between real-world and tampered texts.Compared with RGB domain features, the discontinuity of text texture in frequency domain can help the network to identify the authenticity of text instances.Accordingly, a new TTD method based on RGB and frequency information relationship modeling was proposed.The features in the RGB and frequency domains were extracted by independent feature extractors respectively.Thus, the identification ability of tampered texture can be enhanced by introducing frequency information during the texture perception.Then, a global RGB-frequency relationship module (GRM) was introduced to model the texture authenticity relationship between different text instances.GRM referred to the RGB-frequency features of other text instances in the same image to assist in judging the authenticity of the current text instance, which solved the problem of imbalanced detection performance.Furthermore, a new TTD dataset (Tampered-SROIE) was proposed to evaluate the effectiveness of proposed method, which contains 986 images (626 training images and 360 test images).By evaluating on the Tampered-SROIE, the proposed method obtains 95.97% and 96.80% in F-measure for real-world and tampered texts respectively and reduces the imbalanced detection accuracy by 1.13%.The proposed method will give new insights to the TTD community from the perspective of network structure and detection strategy.Tampered-SROIE also provides an evaluation benchmark for future TTD methods.…”
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Nursing Care According to NANDA-I Diagnoses, NIC Interventions, and NOC Outcomes in a Patient with Autoimmune Encephalitis: A Case Report by Selda Çelik, Emine Ezgi Özçelik

“…The patients’ nursing diagnoses were identified as ineffective health management, imbalanced nutrition: less than body requirements, fluid volume deficit, constipation, impaired physical mobility, impaired verbal communication, hopelessness, impaired social interaction, ineffective sexuality, risk for impaired psychological health, risk for ineffective activity planning, risk for impaired independent decision making, hyperthermia, chronic pain, and risk for delayed development. …”
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Credit card fraud detection through machine learning algorithm by Agyan Panda, Bharath Yadlapalli, Zhi Zhou

“…In this project, we attempt to develop and evaluate a model for the imbalanced credit card fraud dataset.…”
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Bankruptcy forecasting in enterprises and its security using hybrid deep learning models by Akshat Gaurav, Brij B. Gupta, Shavi Bansal, Konstantinos E. Psannis

“…We address the high-dimensional data and imbalanced problems by introducing feature selection strategically and Synthetic Minority Over-sampling Technique (SMOTE). …”
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Ethnobiology! Until when will the colonialist legacy be reinforced? by Sofia Zank, Cristiane Gomes Julião, Adriana de Souza de Lima, Marciano Toledo da Silva, Carolina Levis, Natalia Hanazaki, Nivaldo Peroni

“…This essay was written by a group of Brazilian scientists, both IPLC and non-IPLC, and reflects a perspective of the academic universe seen from the place we are, in this multicultural and imbalanced world.…”
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The intellectualization of multiculturism: Implications for Positive Psychotherapy by Andre Marseille

“…However, this approach has unintentionally imbalanced our understanding of multiculturalism. This has resulted in the intellectualization of multiculturalism. …”
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An underground coal mine multi-target detection algorithm by FAN Shoujun, CHEN Xilin, WEI Liangyue, WANG Qingyu, ZHANG Shiyuan, DONG Fei, LEI Shaohua

“…Currently, underground coal mine target detection algorithms based on deep learning show poor performance in detecting complex small targets under conditions of uneven light intensity distribution, complex target environments, and imbalanced multi-class target scale distribution, often resulting in missed detection and false detection. …”
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Association between dietary patterns and chronic kidney disease in elderly patients with type 2 diabetes: a community-based cross-sectional study by Ling Cao, Peng Yu, Lei Zhang, Qiuming Yao, Fang Zhou, Xiaoying Li, Xiaomu Li

“…Four dietary patterns were identified: “traditional southern”, “high-protein”, “balanced” and “imbalanced”. A balanced dietary pattern, featured with high intake of fruits, dairy products, eggs, snacks, crab and shellfish, and fish and shrimp, was associated with lower CKD prevalence. …”
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Coordination strategies to improve COVID-19 PCR laboratory testing scale up in Nepal: An analysis. by Hannah Bakker, Arunkumar Govindakarnavar, Parvathy Krishnan Krishnakumari, Joaquim Gromicho, Fannie L Côté, Nadia Lahrichi, Priya Jha, Saugat Shrestha, Rashmi Mulmi, Nirajan Bhusal, Deepesh Stapith, Runa Jha, Lilee Shrestha, Dhamari Naidoo, Reuben Samuel, Victor Del Rio Vilas

“…This study aims to determine whether these challenges stemmed from capacity limitations and/or imbalanced sample distribution due to inadequate coordination. …”
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Improving Electrical Fault Detection Using Multiple Classifier Systems by José Oliveira, Dioeliton Passos, Davi Carvalho, José F. V. Melo, Eraylson G. Silva, Paulo S. G. de Mattos Neto

“…However, existing approaches predominantly rely on monolithic models, which struggle with adapting to changing data, handling imbalanced datasets, and capturing patterns in noisy environments. …”
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PID-MPC Implementation on a Chiller-Fan Coil Unit by C. Sanama, X. Xia, M. Nguepnang

“…Precooled outdoor air prevents from imbalanced loads due to fresh air intake that could delay set point tracking and increase the compressor and supply fan speeds. …”
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Semi-supervised Gaussian process classification algorithm addressing the class imbalance by Zhan-guo XIA, Shi-xiong XIA, Shi-yu CAI, Ling WAN

“…The traditional supervised learning is difficult to deal with real-world datasets with less labeled information when the training sets class is imbalanced.Therefore,a new semi-supervised Gaussian process classification of address-ing was proposed.The semi-supervised Gaussian process was realized by calculating the posterior probability to obtain more accurate and credible labeled data,and embarking from self-training semi-supervised methods to add class label into the unlabeled data.The algorithm makes the distribution of training samples relatively balance,so the classifier can adaptively optimized to obtain better effect of classification.According to the experimental results,when the circum-stances of training set are class imbalance and much lack of label information,The algorithm improves the accuracy by obtaining effective labeled in comparison with other related works and provides a new idea for addressing the class im-balance is demonstrated.…”
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Skin microbiota: pathogenic roles and implications in atopic dermatitis by Cong Huang, Cong Huang, Fan Zhuo, Fan Zhuo, Yang Guo, Yang Guo, Yang Guo, Siyu Wang, Siyu Wang, Siyu Wang, Siyu Wang, Kaoyuan Zhang, Kaoyuan Zhang, Xiahong Li, Xiahong Li, Wenkui Dai, Xia Dou, Xia Dou, Bo Yu, Bo Yu

“…Atopic dermatitis (AD) is a chronic and inflammatory skin disorder characterized by impaired barrier function and imbalanced immunity. Recent advances have revealed that dysbiosis of skin microbiota plays important roles in the pathogenesis and development of AD. …”
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Deep Learning-Based Prediction of Physical Stability considering Class Imbalance for Amorphous Solid Dispersions by Hanbyul Lee, Junghyun Kim, Suyeon Kim, Jimin Yoo, Guang J. Choi, Young-Seob Jeong

“…We propose a prediction model that effectively learns from a small dataset that is imbalanced in terms of class. In order to overcome the imbalance problem, our model performs a hybrid sampling which combines synthetic minority oversampling technique (SMOTE) algorithm with edited nearest neighbor (ENN) algorithm and reduces the dimensionality of the dataset using principal component analysis (PCA) algorithm during data preprocessing. …”
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Foreign trade of the Slovak Republic with selected agrarian commodities of animal origin by Dušan Šimo

“…Agriculture on the market of the Slovak Republic overcomes imbalanced due to extra labor deployment of enterprise-level management and other staff. …”
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